Shallow quantum circuits for deeper problems
This work investigates to what extent it is possible to mimic the performance of a deeper quantum computation by using a shallower device many times.
Pérez-Salinas, A., Draškić, R., Tura, J., and Dunjko, V., Phys. Rev. A 108, 062423. DOI: 10.1103/PhysRevA.108.062423.
Spin-glass quantum phase transition in amorphous arrays of Rydberg atoms
This paper performs unbiased quantum Monte Carlo simulations of the ground state of quantum Ising models for amorphous arrays of Rydberg atoms.
Brodoloni, L., Vovrosh, J., Julià-Farré, S., Dauphin, A., & Pilati, S. (2025). arXiv:2505.05117.
The role of data-induced randomness in quantum machine learning classification tasks
This work introduces a metric for binary classification tasks, the class margin, by merging the concepts of average randomness and classification margin.
Casas, B., Bonet-Monroig, X., & Pérez-Salinas, A. (2024). arXiv:2411.19281.
Variational protocols for emulating digital gates using analog control with always-on interactions
In this paper, the authors design variational pulse sequences tailored for neutral atom quantum simulators and show that we can engineer layers of single-qubit and multi-qubit gates.
Chevallier, C., Vovrosh, J., de Hond, J., Dagrada, M., Dauphin, A., & Elfving, V. E. (2024). Phys. Rev. A 109, 062604. DOI: 10.1103/PhysRevA.109.062604.
